Personalized recommendation of intelligent library resources based on artificial intelligence algorithm

This paper proposes a personalized recommendation method of intelligent library resources based on artificial intelligence algorithm, aiming at improving the utilization rate of library resources and user satisfaction. By analyzing the user’s borrowing history, browsing behavior, interests and other multidimensional information, the method constructs a user portrait, combines the characteristics of book resources, uses advanced artificial intelligence algorithms to accurately match, and recommends the book resources that meet the user’s needs. The experiment proves that through this method, the smart library can realize the accurate grasp of user needs and provide more personalized services, so as to improve the overall service quality and user experience of the library.